Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations1133
Missing cells237
Missing cells (%)1.1%
Duplicate rows11
Duplicate rows (%)1.0%
Total size in memory177.0 KiB
Average record size in memory160.0 B

Variable types

Numeric19

Alerts

Dataset has 11 (1.0%) duplicate rowsDuplicates
GOODS_DESCRIPTION_len_chars_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_mean and 9 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 7 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_mean and 3 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_sum and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 9 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 9 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_mean and 2 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_min and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
HS06_count is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 7 other fieldsHigh correlation
subtokenization_indicator_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 9 other fieldsHigh correlation
subtokenization_indicator_mean is highly overall correlated with subtokenization_indicator_max and 2 other fieldsHigh correlation
subtokenization_indicator_median is highly overall correlated with subtokenization_indicator_meanHigh correlation
subtokenization_indicator_std is highly overall correlated with subtokenization_indicator_max and 2 other fieldsHigh correlation
subtokenization_indicator_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std has 79 (7.0%) missing values Missing
GOODS_DESCRIPTION_len_chars_std has 79 (7.0%) missing values Missing
subtokenization_indicator_std has 79 (7.0%) missing values Missing
subtokenization_indicator_std has 19 (1.7%) zeros Zeros

Reproduction

Analysis started2025-05-15 18:00:00.012751
Analysis finished2025-05-15 18:02:35.771190
Duration2 minutes and 35.76 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

HS06_count
Real number (ℝ)

High correlation 

Distinct392
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.34598
Minimum1
Maximum8524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:36.141686image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median40
Q3167
95-th percentile1103
Maximum8524
Range8523
Interquartile range (IQR)159

Descriptive statistics

Standard deviation637.71893
Coefficient of variation (CV)2.6982431
Kurtosis56.199444
Mean236.34598
Median Absolute Deviation (MAD)37
Skewness6.4284881
Sum267780
Variance406685.43
MonotonicityNot monotonic
2025-05-15T15:02:36.643099image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 79
 
7.0%
2 42
 
3.7%
3 36
 
3.2%
4 34
 
3.0%
7 24
 
2.1%
6 24
 
2.1%
8 23
 
2.0%
5 23
 
2.0%
9 22
 
1.9%
13 16
 
1.4%
Other values (382) 810
71.5%
ValueCountFrequency (%)
1 79
7.0%
2 42
3.7%
3 36
3.2%
4 34
3.0%
5 23
 
2.0%
6 24
 
2.1%
7 24
 
2.1%
8 23
 
2.0%
9 22
 
1.9%
10 11
 
1.0%
ValueCountFrequency (%)
8524 1
0.1%
7341 1
0.1%
5700 1
0.1%
5487 1
0.1%
4895 1
0.1%
4593 1
0.1%
3910 1
0.1%
3819 1
0.1%
3562 1
0.1%
3485 1
0.1%

GOODS_DESCRIPTION_len_words_sum
Real number (ℝ)

High correlation 

Distinct640
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1084.4731
Minimum1
Maximum42209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:37.385052image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q130
median170
Q3735
95-th percentile5179.4
Maximum42209
Range42208
Interquartile range (IQR)705

Descriptive statistics

Standard deviation3049.806
Coefficient of variation (CV)2.8122469
Kurtosis58.849811
Mean1084.4731
Median Absolute Deviation (MAD)162
Skewness6.5871419
Sum1228708
Variance9301316.7
MonotonicityNot monotonic
2025-05-15T15:02:38.120780image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 31
 
2.7%
3 21
 
1.9%
1 18
 
1.6%
6 17
 
1.5%
5 13
 
1.1%
4 12
 
1.1%
7 12
 
1.1%
16 12
 
1.1%
8 12
 
1.1%
10 10
 
0.9%
Other values (630) 975
86.1%
ValueCountFrequency (%)
1 18
1.6%
2 31
2.7%
3 21
1.9%
4 12
 
1.1%
5 13
1.1%
6 17
1.5%
7 12
 
1.1%
8 12
 
1.1%
9 10
 
0.9%
10 10
 
0.9%
ValueCountFrequency (%)
42209 1
0.1%
34553 1
0.1%
26232 1
0.1%
25157 1
0.1%
22219 1
0.1%
21423 1
0.1%
19726 1
0.1%
19464 1
0.1%
18485 1
0.1%
17690 1
0.1%

GOODS_DESCRIPTION_len_words_min
Real number (ℝ)

High correlation 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3857017
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:38.564139image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85547931
Coefficient of variation (CV)0.61736182
Kurtosis43.380671
Mean1.3857017
Median Absolute Deviation (MAD)0
Skewness4.9802686
Sum1570
Variance0.73184485
MonotonicityNot monotonic
2025-05-15T15:02:39.010053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 820
72.4%
2 252
 
22.2%
3 33
 
2.9%
4 14
 
1.2%
6 6
 
0.5%
5 5
 
0.4%
13 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
1 820
72.4%
2 252
 
22.2%
3 33
 
2.9%
4 14
 
1.2%
5 5
 
0.4%
6 6
 
0.5%
8 1
 
0.1%
9 1
 
0.1%
13 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
6 6
 
0.5%
5 5
 
0.4%
4 14
 
1.2%
3 33
 
2.9%
2 252
 
22.2%
1 820
72.4%

GOODS_DESCRIPTION_len_words_mean
Real number (ℝ)

High correlation 

Distinct801
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0168911
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:39.512867image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.3225806
median4
Q34.7058824
95-th percentile6
Maximum13
Range12
Interquartile range (IQR)1.3833017

Descriptive statistics

Standard deviation1.2578939
Coefficient of variation (CV)0.3131511
Kurtosis3.4291344
Mean4.0168911
Median Absolute Deviation (MAD)0.69565217
Skewness0.65477984
Sum4551.1376
Variance1.582297
MonotonicityNot monotonic
2025-05-15T15:02:40.102759image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 44
 
3.9%
3 32
 
2.8%
1 20
 
1.8%
2.5 20
 
1.8%
4 17
 
1.5%
5 14
 
1.2%
3.5 13
 
1.1%
3.666666667 12
 
1.1%
4.5 10
 
0.9%
3.333333333 10
 
0.9%
Other values (791) 941
83.1%
ValueCountFrequency (%)
1 20
1.8%
1.333333333 1
 
0.1%
1.5 8
 
0.7%
1.6 2
 
0.2%
1.666666667 1
 
0.1%
1.736842105 1
 
0.1%
1.75 3
 
0.3%
1.833333333 1
 
0.1%
1.875 1
 
0.1%
1.964285714 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
9.727272727 1
 
0.1%
9 3
0.3%
8.717391304 1
 
0.1%
8.045454545 1
 
0.1%
8 3
0.3%
7.794871795 1
 
0.1%
7.776315789 1
 
0.1%
7.690140845 1
 
0.1%
7.649667406 1
 
0.1%

GOODS_DESCRIPTION_len_words_median
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5141218
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:40.592837image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5.5
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1852577
Coefficient of variation (CV)0.33728417
Kurtosis5.5821362
Mean3.5141218
Median Absolute Deviation (MAD)1
Skewness1.2701576
Sum3981.5
Variance1.4048357
MonotonicityNot monotonic
2025-05-15T15:02:41.107860image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 374
33.0%
4 371
32.7%
2 130
 
11.5%
5 83
 
7.3%
2.5 39
 
3.4%
3.5 31
 
2.7%
6 30
 
2.6%
1 23
 
2.0%
4.5 14
 
1.2%
7 9
 
0.8%
Other values (7) 29
 
2.6%
ValueCountFrequency (%)
1 23
 
2.0%
1.5 9
 
0.8%
2 130
 
11.5%
2.5 39
 
3.4%
3 374
33.0%
3.5 31
 
2.7%
4 371
32.7%
4.5 14
 
1.2%
5 83
 
7.3%
5.5 4
 
0.4%
ValueCountFrequency (%)
13 1
 
0.1%
9 2
 
0.2%
8.5 2
 
0.2%
8 7
 
0.6%
7 9
 
0.8%
6.5 4
 
0.4%
6 30
 
2.6%
5.5 4
 
0.4%
5 83
7.3%
4.5 14
 
1.2%

GOODS_DESCRIPTION_len_words_max
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.319506
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:41.559505image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median11
Q317
95-th percentile26
Maximum41
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.2390004
Coefficient of variation (CV)0.58760477
Kurtosis-0.1382438
Mean12.319506
Median Absolute Deviation (MAD)5
Skewness0.59078136
Sum13958
Variance52.403126
MonotonicityNot monotonic
2025-05-15T15:02:42.294105image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
11 69
 
6.1%
10 67
 
5.9%
14 60
 
5.3%
12 60
 
5.3%
8 59
 
5.2%
4 58
 
5.1%
5 57
 
5.0%
7 51
 
4.5%
6 50
 
4.4%
3 50
 
4.4%
Other values (26) 552
48.7%
ValueCountFrequency (%)
1 20
 
1.8%
2 47
4.1%
3 50
4.4%
4 58
5.1%
5 57
5.0%
6 50
4.4%
7 51
4.5%
8 59
5.2%
9 47
4.1%
10 67
5.9%
ValueCountFrequency (%)
41 1
 
0.1%
37 2
 
0.2%
34 1
 
0.1%
33 1
 
0.1%
32 3
 
0.3%
31 3
 
0.3%
30 6
0.5%
29 5
0.4%
28 12
1.1%
27 9
0.8%

GOODS_DESCRIPTION_len_words_std
Real number (ℝ)

High correlation  Missing 

Distinct964
Distinct (%)91.5%
Missing79
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean2.3958431
Minimum0
Maximum8.845903
Zeros10
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:42.855663image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.74051142
Q11.763664
median2.3378609
Q32.9544606
95-th percentile4.0610509
Maximum8.845903
Range8.845903
Interquartile range (IQR)1.1907966

Descriptive statistics

Standard deviation1.0533187
Coefficient of variation (CV)0.43964428
Kurtosis4.5760451
Mean2.3958431
Median Absolute Deviation (MAD)0.59579506
Skewness1.1140334
Sum2525.2187
Variance1.1094804
MonotonicityNot monotonic
2025-05-15T15:02:43.384393image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 20
 
1.8%
0 10
 
0.9%
1.527525232 7
 
0.6%
1.414213562 6
 
0.5%
0.8164965809 6
 
0.5%
0.5773502692 6
 
0.5%
1.732050808 5
 
0.4%
0.9574271078 5
 
0.4%
1 5
 
0.4%
2.121320344 4
 
0.4%
Other values (954) 980
86.5%
(Missing) 79
 
7.0%
ValueCountFrequency (%)
0 10
0.9%
0.3535533906 1
 
0.1%
0.377964473 1
 
0.1%
0.4472135955 1
 
0.1%
0.4472135955 1
 
0.1%
0.5 2
 
0.2%
0.5345224838 1
 
0.1%
0.5477225575 1
 
0.1%
0.5477225575 2
 
0.2%
0.5773502692 6
0.5%
ValueCountFrequency (%)
8.845903006 1
0.1%
8.485281374 1
0.1%
8.354615002 1
0.1%
8.082903769 1
0.1%
6.938848539 1
0.1%
6.31016496 1
0.1%
6.309478886 1
0.1%
6.228964601 1
0.1%
6.089563178 1
0.1%
5.879747322 1
0.1%

GOODS_DESCRIPTION_len_chars_sum
Real number (ℝ)

High correlation 

Distinct934
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6906.8358
Minimum4
Maximum284435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:44.034171image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile19
Q1191
median1083
Q34601
95-th percentile32887
Maximum284435
Range284431
Interquartile range (IQR)4410

Descriptive statistics

Standard deviation19697.754
Coefficient of variation (CV)2.8519216
Kurtosis62.983743
Mean6906.8358
Median Absolute Deviation (MAD)1031
Skewness6.7956587
Sum7825445
Variance3.8800152 × 108
MonotonicityNot monotonic
2025-05-15T15:02:44.512743image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 7
 
0.6%
14 7
 
0.6%
8 6
 
0.5%
11 6
 
0.5%
30 5
 
0.4%
13 5
 
0.4%
19 5
 
0.4%
24 5
 
0.4%
16 4
 
0.4%
75 4
 
0.4%
Other values (924) 1079
95.2%
ValueCountFrequency (%)
4 4
0.4%
5 4
0.4%
6 1
 
0.1%
7 1
 
0.1%
8 6
0.5%
9 3
0.3%
10 7
0.6%
11 6
0.5%
12 2
 
0.2%
13 5
0.4%
ValueCountFrequency (%)
284435 1
0.1%
210370 1
0.1%
171533 1
0.1%
167072 1
0.1%
146538 1
0.1%
142074 1
0.1%
137014 1
0.1%
128603 1
0.1%
120507 1
0.1%
110031 1
0.1%

GOODS_DESCRIPTION_len_chars_min
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9541041
Minimum2
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:44.983971image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q310
95-th percentile17
Maximum88
Range86
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.9787324
Coefficient of variation (CV)0.75165378
Kurtosis37.47767
Mean7.9541041
Median Absolute Deviation (MAD)2
Skewness4.3789126
Sum9012
Variance35.745242
MonotonicityNot monotonic
2025-05-15T15:02:45.462171image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4 160
14.1%
6 153
13.5%
5 143
12.6%
3 118
10.4%
7 102
9.0%
9 82
7.2%
8 77
6.8%
10 63
 
5.6%
11 49
 
4.3%
12 30
 
2.6%
Other values (29) 156
13.8%
ValueCountFrequency (%)
2 14
 
1.2%
3 118
10.4%
4 160
14.1%
5 143
12.6%
6 153
13.5%
7 102
9.0%
8 77
6.8%
9 82
7.2%
10 63
 
5.6%
11 49
 
4.3%
ValueCountFrequency (%)
88 1
0.1%
56 1
0.1%
50 1
0.1%
40 2
0.2%
38 1
0.1%
37 1
0.1%
34 1
0.1%
33 2
0.2%
32 1
0.1%
31 2
0.2%

GOODS_DESCRIPTION_len_chars_mean
Real number (ℝ)

High correlation 

Distinct949
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.663895
Minimum4
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:45.984798image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile12.06
Q121.171429
median25.594203
Q330.153846
95-th percentile38.914286
Maximum88
Range84
Interquartile range (IQR)8.9824176

Descriptive statistics

Standard deviation8.2451018
Coefficient of variation (CV)0.32127242
Kurtosis3.9242582
Mean25.663895
Median Absolute Deviation (MAD)4.4522674
Skewness0.68101763
Sum29077.193
Variance67.981704
MonotonicityNot monotonic
2025-05-15T15:02:46.605867image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 10
 
0.9%
24 10
 
0.9%
11 9
 
0.8%
13 8
 
0.7%
22 8
 
0.7%
8 7
 
0.6%
10 7
 
0.6%
28 6
 
0.5%
15 6
 
0.5%
16 5
 
0.4%
Other values (939) 1057
93.3%
ValueCountFrequency (%)
4 4
0.4%
5 5
0.4%
6 2
 
0.2%
7 2
 
0.2%
7.666666667 1
 
0.1%
7.75 1
 
0.1%
8 7
0.6%
8.5 1
 
0.1%
8.75 1
 
0.1%
9 3
0.3%
ValueCountFrequency (%)
88 1
0.1%
59.5 1
0.1%
58.4439523 1
0.1%
57.5 1
0.1%
57.45454545 1
0.1%
56.22727273 1
0.1%
56 1
0.1%
53.83333333 1
0.1%
52 1
0.1%
51.38235294 1
0.1%

GOODS_DESCRIPTION_len_chars_median
Real number (ℝ)

High correlation 

Distinct84
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.67564
Minimum4
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:47.218303image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11
Q118
median22.5
Q326
95-th percentile35
Maximum88
Range84
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.734842
Coefficient of variation (CV)0.34110799
Kurtosis7.3585189
Mean22.67564
Median Absolute Deviation (MAD)4
Skewness1.3802229
Sum25691.5
Variance59.827781
MonotonicityNot monotonic
2025-05-15T15:02:48.121882image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 76
 
6.7%
26 67
 
5.9%
24 66
 
5.8%
23 62
 
5.5%
25 58
 
5.1%
22 56
 
4.9%
20 49
 
4.3%
18 46
 
4.1%
19 46
 
4.1%
27 43
 
3.8%
Other values (74) 564
49.8%
ValueCountFrequency (%)
4 5
 
0.4%
5 5
 
0.4%
6 2
 
0.2%
7 4
 
0.4%
7.5 2
 
0.2%
8 6
 
0.5%
8.5 1
 
0.1%
9 6
 
0.5%
9.5 3
 
0.3%
10 15
1.3%
ValueCountFrequency (%)
88 1
 
0.1%
67 1
 
0.1%
59.5 1
 
0.1%
57.5 2
0.2%
56 1
 
0.1%
55 3
0.3%
52 1
 
0.1%
50 1
 
0.1%
49 1
 
0.1%
48 1
 
0.1%

GOODS_DESCRIPTION_len_chars_max
Real number (ℝ)

High correlation 

Distinct147
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.0812
Minimum4
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:48.633584image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q140
median76
Q3101
95-th percentile150
Maximum150
Range146
Interquartile range (IQR)61

Descriptive statistics

Standard deviation42.120773
Coefficient of variation (CV)0.55362918
Kurtosis-0.95972037
Mean76.0812
Median Absolute Deviation (MAD)32
Skewness0.25987727
Sum86200
Variance1774.1595
MonotonicityNot monotonic
2025-05-15T15:02:49.150779image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 89
 
7.9%
100 45
 
4.0%
81 30
 
2.6%
149 23
 
2.0%
80 19
 
1.7%
88 19
 
1.7%
26 16
 
1.4%
38 16
 
1.4%
46 14
 
1.2%
99 13
 
1.1%
Other values (137) 849
74.9%
ValueCountFrequency (%)
4 4
 
0.4%
5 4
 
0.4%
6 2
 
0.2%
7 2
 
0.2%
8 6
0.5%
9 3
 
0.3%
10 11
1.0%
11 7
0.6%
12 4
 
0.4%
13 8
0.7%
ValueCountFrequency (%)
150 89
7.9%
149 23
 
2.0%
148 5
 
0.4%
147 5
 
0.4%
146 1
 
0.1%
145 2
 
0.2%
144 4
 
0.4%
143 4
 
0.4%
142 3
 
0.3%
141 2
 
0.2%

GOODS_DESCRIPTION_len_chars_std
Real number (ℝ)

High correlation  Missing 

Distinct1032
Distinct (%)97.9%
Missing79
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean14.977186
Minimum0
Maximum50.871453
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:49.729415image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9497475
Q110.66257
median14.598446
Q318.648641
95-th percentile25.756896
Maximum50.871453
Range50.871453
Interquartile range (IQR)7.9860707

Descriptive statistics

Standard deviation6.6164513
Coefficient of variation (CV)0.44176866
Kurtosis2.7979674
Mean14.977186
Median Absolute Deviation (MAD)3.9921465
Skewness0.92662141
Sum15785.954
Variance43.777428
MonotonicityNot monotonic
2025-05-15T15:02:50.308481image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.414213562 4
 
0.4%
4.242640687 3
 
0.3%
3.535533906 3
 
0.3%
0 2
 
0.2%
37.4766594 2
 
0.2%
6.363961031 2
 
0.2%
9.899494937 2
 
0.2%
2.828427125 2
 
0.2%
0.7071067812 2
 
0.2%
4.680252333 2
 
0.2%
Other values (1022) 1030
90.9%
(Missing) 79
 
7.0%
ValueCountFrequency (%)
0 2
0.2%
0.7071067812 2
0.2%
1.414213562 4
0.4%
1.732050808 1
 
0.1%
2.081665999 2
0.2%
2.081665999 1
 
0.1%
2.121320344 2
0.2%
2.309401077 1
 
0.1%
2.416461403 1
 
0.1%
2.483277404 1
 
0.1%
ValueCountFrequency (%)
50.87145331 1
0.1%
47.63052243 1
0.1%
47.38559154 1
0.1%
46.41428352 1
0.1%
43.40506883 1
0.1%
42.02491397 1
0.1%
37.4766594 2
0.2%
37.03340016 1
0.1%
36.92753522 1
0.1%
35.61706588 1
0.1%

subtokenization_indicator_sum
Real number (ℝ)

High correlation 

Distinct1005
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460.22181
Minimum1
Maximum16890.965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:50.811728image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114.75
median78.238889
Q3313.48382
95-th percentile2150.1879
Maximum16890.965
Range16889.965
Interquartile range (IQR)298.73382

Descriptive statistics

Standard deviation1304.6422
Coefficient of variation (CV)2.8348117
Kurtosis56.102098
Mean460.22181
Median Absolute Deviation (MAD)73.638889
Skewness6.5643408
Sum521431.31
Variance1702091.2
MonotonicityNot monotonic
2025-05-15T15:02:51.487797image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 29
 
2.6%
2 27
 
2.4%
3 15
 
1.3%
4 8
 
0.7%
1.5 7
 
0.6%
3.5 7
 
0.6%
6 7
 
0.6%
4.5 5
 
0.4%
5 5
 
0.4%
7 4
 
0.4%
Other values (995) 1019
89.9%
ValueCountFrequency (%)
1 29
2.6%
1.125 1
 
0.1%
1.2 2
 
0.2%
1.25 2
 
0.2%
1.333333333 1
 
0.1%
1.5 7
 
0.6%
1.666666667 1
 
0.1%
1.692307692 1
 
0.1%
2 27
2.4%
2.166666667 1
 
0.1%
ValueCountFrequency (%)
16890.96539 1
0.1%
14580.36125 1
0.1%
12428.75132 1
0.1%
11086.66911 1
0.1%
11050.40079 1
0.1%
9379.219336 1
0.1%
9249.022564 1
0.1%
8523.682765 1
0.1%
8400.774335 1
0.1%
7634.583305 1
0.1%
Distinct42
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1085662
Minimum1
Maximum4.3333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:52.043152image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.6953846
Maximum4.3333333
Range3.3333333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35336092
Coefficient of variation (CV)0.31875491
Kurtosis29.617078
Mean1.1085662
Median Absolute Deviation (MAD)0
Skewness4.9070055
Sum1256.0055
Variance0.12486394
MonotonicityNot monotonic
2025-05-15T15:02:52.638381image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 963
85.0%
1.5 30
 
2.6%
2 24
 
2.1%
1.333333333 20
 
1.8%
1.25 18
 
1.6%
1.2 7
 
0.6%
1.6 7
 
0.6%
1.666666667 6
 
0.5%
3 5
 
0.4%
1.4 4
 
0.4%
Other values (32) 49
 
4.3%
ValueCountFrequency (%)
1 963
85.0%
1.125 2
 
0.2%
1.142857143 3
 
0.3%
1.166666667 3
 
0.3%
1.2 7
 
0.6%
1.222222222 1
 
0.1%
1.25 18
 
1.6%
1.285714286 1
 
0.1%
1.333333333 20
 
1.8%
1.363636364 1
 
0.1%
ValueCountFrequency (%)
4.333333333 1
 
0.1%
4 3
0.3%
3.666666667 1
 
0.1%
3.6 1
 
0.1%
3.5 1
 
0.1%
3.333333333 1
 
0.1%
3 5
0.4%
2.666666667 1
 
0.1%
2.571428571 1
 
0.1%
2.5 3
0.3%

subtokenization_indicator_mean
Real number (ℝ)

High correlation 

Distinct993
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8367172
Minimum1
Maximum5.2916667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:53.274650image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1666667
Q11.5517844
median1.7673721
Q32.0457171
95-th percentile2.7215674
Maximum5.2916667
Range4.2916667
Interquartile range (IQR)0.49393266

Descriptive statistics

Standard deviation0.47938043
Coefficient of variation (CV)0.2609985
Kurtosis5.0398033
Mean1.8367172
Median Absolute Deviation (MAD)0.23887014
Skewness1.4488669
Sum2081.0006
Variance0.2298056
MonotonicityNot monotonic
2025-05-15T15:02:54.318579image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 44
 
3.9%
2 22
 
1.9%
1.5 21
 
1.9%
1.166666667 6
 
0.5%
1.25 6
 
0.5%
3 5
 
0.4%
1.2 5
 
0.4%
2.25 4
 
0.4%
1.583333333 4
 
0.4%
4 3
 
0.3%
Other values (983) 1013
89.4%
ValueCountFrequency (%)
1 44
3.9%
1.055555556 1
 
0.1%
1.083333333 2
 
0.2%
1.1 1
 
0.1%
1.104166667 1
 
0.1%
1.111111111 1
 
0.1%
1.114583333 1
 
0.1%
1.125 3
 
0.3%
1.133333333 1
 
0.1%
1.145833333 1
 
0.1%
ValueCountFrequency (%)
5.291666667 1
 
0.1%
4.333333333 1
 
0.1%
4.179890333 1
 
0.1%
4 3
0.3%
3.635560676 1
 
0.1%
3.6 1
 
0.1%
3.543229167 1
 
0.1%
3.5 1
 
0.1%
3.43871876 1
 
0.1%
3.375653614 1
 
0.1%

subtokenization_indicator_median
Real number (ℝ)

High correlation 

Distinct175
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6505672
Minimum1
Maximum5.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:54.816280image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.4
median1.5584416
Q31.85
95-th percentile2.4785714
Maximum5.25
Range4.25
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.45717387
Coefficient of variation (CV)0.27697986
Kurtosis7.026777
Mean1.6505672
Median Absolute Deviation (MAD)0.22510823
Skewness1.7536601
Sum1870.0926
Variance0.20900795
MonotonicityNot monotonic
2025-05-15T15:02:55.305091image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5 223
19.7%
2 126
 
11.1%
1 108
 
9.5%
1.666666667 92
 
8.1%
1.333333333 58
 
5.1%
1.75 45
 
4.0%
1.6 26
 
2.3%
1.4 22
 
1.9%
1.25 21
 
1.9%
1.8 18
 
1.6%
Other values (165) 394
34.8%
ValueCountFrequency (%)
1 108
9.5%
1.0625 2
 
0.2%
1.071428571 1
 
0.1%
1.083333333 3
 
0.3%
1.1 3
 
0.3%
1.125 6
 
0.5%
1.166666667 6
 
0.5%
1.166666667 5
 
0.4%
1.171428571 1
 
0.1%
1.181818182 1
 
0.1%
ValueCountFrequency (%)
5.25 1
 
0.1%
4.333333333 1
 
0.1%
4 3
0.3%
3.6 1
 
0.1%
3.5 1
 
0.1%
3.444444444 1
 
0.1%
3.333333333 1
 
0.1%
3.291666667 1
 
0.1%
3.225 1
 
0.1%
3.2 1
 
0.1%

subtokenization_indicator_max
Real number (ℝ)

High correlation 

Distinct153
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0039938
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:55.807226image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3333333
Q13
median4.3333333
Q37
95-th percentile17
Maximum59
Range58
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.2823348
Coefficient of variation (CV)0.8798035
Kurtosis13.703089
Mean6.0039938
Median Absolute Deviation (MAD)1.8333333
Skewness2.8071111
Sum6802.525
Variance27.903061
MonotonicityNot monotonic
2025-05-15T15:02:56.365009image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 99
 
8.7%
4 81
 
7.1%
2 68
 
6.0%
5 65
 
5.7%
6 57
 
5.0%
1 44
 
3.9%
7 43
 
3.8%
9 36
 
3.2%
8 31
 
2.7%
2.5 31
 
2.7%
Other values (143) 578
51.0%
ValueCountFrequency (%)
1 44
3.9%
1.125 1
 
0.1%
1.166666667 1
 
0.1%
1.2 3
 
0.3%
1.25 2
 
0.2%
1.285714286 1
 
0.1%
1.3125 1
 
0.1%
1.333333333 7
 
0.6%
1.4 3
 
0.3%
1.5 23
2.0%
ValueCountFrequency (%)
59 1
 
0.1%
38 1
 
0.1%
36 1
 
0.1%
33 1
 
0.1%
32 1
 
0.1%
30 1
 
0.1%
27 2
0.2%
26 3
0.3%
25 3
0.3%
24 2
0.2%

subtokenization_indicator_std
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1015
Distinct (%)96.3%
Missing79
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean0.85537665
Minimum0
Maximum6.8637026
Zeros19
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2025-05-15T15:02:56.864852image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.26341188
Q10.57251557
median0.76675762
Q31.0013853
95-th percentile1.7524651
Maximum6.8637026
Range6.8637026
Interquartile range (IQR)0.42886972

Descriptive statistics

Standard deviation0.54019903
Coefficient of variation (CV)0.63153352
Kurtosis26.149073
Mean0.85537665
Median Absolute Deviation (MAD)0.21053179
Skewness3.5872379
Sum901.56699
Variance0.29181499
MonotonicityNot monotonic
2025-05-15T15:02:57.363403image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
1.7%
0.7071067812 8
 
0.7%
0.3535533906 4
 
0.4%
0.2886751346 3
 
0.3%
0.5 3
 
0.3%
1.060660172 2
 
0.2%
0.1443375673 2
 
0.2%
0.4714045208 2
 
0.2%
0.5773502692 2
 
0.2%
0.8260094834 2
 
0.2%
Other values (1005) 1007
88.9%
(Missing) 79
 
7.0%
ValueCountFrequency (%)
0 19
1.7%
0.04040610178 1
 
0.1%
0.04714045208 1
 
0.1%
0.1060660172 1
 
0.1%
0.1154700538 1
 
0.1%
0.1178511302 1
 
0.1%
0.1187827742 1
 
0.1%
0.1346870059 1
 
0.1%
0.1443375673 2
 
0.2%
0.1556749623 1
 
0.1%
ValueCountFrequency (%)
6.863702575 1
0.1%
5.543882975 1
0.1%
5.023361287 1
0.1%
4.317555069 1
0.1%
3.406505481 1
0.1%
3.287053242 1
0.1%
3.184653662 1
0.1%
3.09319208 1
0.1%
3.02736768 1
0.1%
2.924630168 1
0.1%

Interactions

2025-05-15T15:02:25.833568image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:01.375926image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:09.793518image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:17.961530image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:25.812819image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:34.154797image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:44.491928image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:52.472713image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:00.849439image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:08.363147image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:16.015397image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:23.803022image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:31.560210image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:39.873150image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:47.589095image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:55.567755image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:03.767804image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:01:12.690344image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:20.476249image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:00:06.888140image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:00:31.050623image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:40.202981image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:01:21.001449image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:28.275162image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:36.672727image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:44.882602image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:52.207132image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:00.441340image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:08.501315image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:15.283205image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:22.909616image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:30.822621image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:07.352900image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:14.916139image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:23.381945image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:31.403650image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:00:40.879459image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:01:21.499047image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:01:28.658978image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:00:15.362809image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:00:31.810702image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:00:32.201697image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T15:01:55.157784image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:03.426001image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:10.691913image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:17.635008image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T15:02:25.379769image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-05-15T15:02:57.738542image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
GOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_words_sumHS06_countsubtokenization_indicator_maxsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_minsubtokenization_indicator_stdsubtokenization_indicator_sum
GOODS_DESCRIPTION_len_chars_max1.0000.6690.479-0.4870.7860.8580.9660.6700.485-0.3900.7640.8540.8210.6900.1870.102-0.3680.3710.817
GOODS_DESCRIPTION_len_chars_mean0.6691.0000.881-0.0120.7780.5040.6530.9400.7930.0290.7700.4940.4080.3810.2950.259-0.0720.2120.423
GOODS_DESCRIPTION_len_chars_median0.4790.8811.0000.0450.4760.4330.4770.8290.8650.0820.5010.4240.3450.3450.3310.3170.0050.1960.367
GOODS_DESCRIPTION_len_chars_min-0.487-0.0120.0451.000-0.199-0.627-0.498-0.066-0.0020.732-0.202-0.632-0.668-0.534-0.0530.0170.437-0.288-0.658
GOODS_DESCRIPTION_len_chars_std0.7860.7780.476-0.1991.0000.4580.7420.7280.435-0.1360.9290.4490.3800.3280.1600.110-0.1400.2290.382
GOODS_DESCRIPTION_len_chars_sum0.8580.5040.433-0.6270.4581.0000.8660.5340.457-0.5200.4810.9990.9930.8240.2270.133-0.4430.4460.990
GOODS_DESCRIPTION_len_words_max0.9660.6530.477-0.4980.7420.8661.0000.6870.492-0.3970.7870.8660.8310.6970.1760.094-0.3750.3700.826
GOODS_DESCRIPTION_len_words_mean0.6700.9400.829-0.0660.7280.5340.6871.0000.8490.0220.7900.5370.4460.3600.1850.165-0.1330.1400.448
GOODS_DESCRIPTION_len_words_median0.4850.7930.865-0.0020.4350.4570.4920.8491.0000.0730.4800.4600.3810.3120.1930.186-0.0690.1130.387
GOODS_DESCRIPTION_len_words_min-0.3900.0290.0820.732-0.136-0.520-0.3970.0220.0731.000-0.156-0.519-0.563-0.546-0.159-0.0520.384-0.403-0.566
GOODS_DESCRIPTION_len_words_std0.7640.7700.501-0.2020.9290.4810.7870.7900.480-0.1561.0000.4800.4050.3540.1720.125-0.1290.2370.407
GOODS_DESCRIPTION_len_words_sum0.8540.4940.424-0.6320.4490.9990.8660.5370.460-0.5190.4801.0000.9940.8170.2110.120-0.4500.4320.989
HS06_count0.8210.4080.345-0.6680.3800.9930.8310.4460.381-0.5630.4050.9941.0000.8250.2040.108-0.4660.4440.995
subtokenization_indicator_max0.6900.3810.345-0.5340.3280.8240.6970.3600.312-0.5460.3540.8170.8251.0000.5290.334-0.2830.8360.860
subtokenization_indicator_mean0.1870.2950.331-0.0530.1600.2270.1760.1850.193-0.1590.1720.2110.2040.5291.0000.9110.3290.6820.295
subtokenization_indicator_median0.1020.2590.3170.0170.1100.1330.0940.1650.186-0.0520.1250.1200.1080.3340.9111.0000.4080.4260.193
subtokenization_indicator_min-0.368-0.0720.0050.437-0.140-0.443-0.375-0.133-0.0690.384-0.129-0.450-0.466-0.2830.3290.4081.000-0.140-0.422
subtokenization_indicator_std0.3710.2120.196-0.2880.2290.4460.3700.1400.113-0.4030.2370.4320.4440.8360.6820.426-0.1401.0000.506
subtokenization_indicator_sum0.8170.4230.367-0.6580.3820.9900.8260.4480.387-0.5660.4070.9890.9950.8600.2950.193-0.4220.5061.000

Missing values

2025-05-15T15:02:33.853493image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T15:02:34.865053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T15:02:35.507170image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std
HS04
010173525.0000006.072.0000002031529.00000031.04611.4017549.2380951.0000001.3197281.2857141.6666670.255646
0102103523.5000003.071.840894179817.90000015.5349.75761813.3333331.0000001.3333331.0000002.3333330.496904
01032311.5000001.520.70710720410.00000010.0168.4852813.0000001.0000001.5000001.5000002.0000000.707107
01043612.0000001.041.73205133411.0000009.0208.1853533.5000001.0000001.1666671.0000001.5000000.288675
01057659127.7763167.0203.90076533871444.56578937.012423.405034107.8745841.0000001.4194021.2857142.6875000.411470
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HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std
HS04
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Duplicate rows

Most frequently occurring

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std# duplicates
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